Tabu search performance on the symmetric traveling salesman problem
Computers and Operations Research - Special issue: heuristic, genetic and tabu search
Optimizing tabu list size for the traveling salesman problem
Computers and Operations Research
A new approach for ranking fuzzy numbers by distance method
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
A New Approach on the Traveling Salesman Problem by Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers
Applied Intelligence
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
A memetic random-key genetic algorithm for a symmetric multi-objective traveling salesman problem
Computers and Industrial Engineering
Uncertainty Theory
A new MOEA for multi-objective TSP and Its convergence property analysis
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Solving the traveling salesman problem with annealing-based heuristics: a computational study
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A method for ranking fuzzy numbers and its application to decision-making
IEEE Transactions on Fuzzy Systems
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
The paper proposes an extended tabu search algorithm for the traveling salesman problem (TSP) with fuzzy edge weights. The algorithm considers three important fuzzy ranking criteria including expected value, optimistic value and pessimistic value, and performs a three-stage search towards the Pareto front, involving a preferred criterion at each stage. Simulations demonstrate that our approach can produce a set of near optimal solutions for fuzzy TSP instances with up to 750 uniformly randomly generated nodes.